RAG wasn't a concept nine months ago. Today, everybody talks about ‘Chat with Data'. To do it, you need Retrieval Augmented Generation, or RAG for short.
The traditional RAG stack combines the strengths of information retrieval systems and generative models. In essence, it retrieves relevant documents or data points and uses this information to generate more accurate and contextually appropriate responses.
The main drivers for this combination of Large Language Models (LLMs) with more traditional search techniques are a few:
In high-stakes enterprise environments, where the accuracy and reliability of information are critical, RAG's ability to retrieve accurate data from trusted sources and present it coherently ensures that businesses can trust the output. This trust is essential for informed decision-making processes.
For enterprise usage at scale, though, a few elements are missing:
These elements are all missing in a 'standard' RAG setup.
With over 10 years of experience, Squirro pioneered enterprise-ready Retrieval-Augmented Generative AI (RAG) solutions. Today, we are announcing the next level: RAG+++.
We add a few critical components to the RAG +++ architecture:
We have been working hard to implement a few key enterprise security requirements: entitlement handling/full Access Control Lists (ACLs) implementation, transparent data lineage, and a robust testing system. With this, Squirro enhances data protection and compliance, a traceable path of data flow and transformations, and accountability and integrity.
The first significant enhancement to the RAG+++ is the incorporation of graphs, specifically taxonomies and process graphs.
Another significant advancement in RAG+++ is the ability to ingest and operate with real-time operational data sets. This capability ensures that the system is always up-to-date with the latest information, which is crucial for applications that rely on timely and accurate data.
Whether monitoring live sensor data in an industrial setting or tracking real-time market trends, RAG+++ can process and utilize this data to provide relevant insights and predictions.
Data security is a paramount concern in today's digital age. RAG+++ addresses this by incorporating the use of synthetic data. Synthetic data is artificially generated data that mimics accurate data while preserving privacy and confidentiality. RAG+++ can train and operate AI models using synthetic data without exposing sensitive information.
With this approach, you test an application in lower environments and sandboxes. You also can expose sensitive data without any worry to 3rd party LLMs. This approach enhances security and ensures compliance with data protection regulations.
Maintaining consistency in brand messaging, adhering to regulatory requirements, and preserving the intended tone of voice is critical for any organization.
RAG+++ introduces robust guardrails to ensure these aspects are not compromised. These guardrails function as predefined rules and checks the system adheres to during data processing and response generation.
They ensure that:
Agents complement the RAG+++ structure by enhancing its capability to handle diverse and complex tasks. While RAG+++ combines information retrieval and generation to produce accurate and relevant responses, agents can dynamically manage, orchestrate, and optimize these processes. This synergy improves the efficiency, accuracy, and adaptability of the RAG system in various applications.
The introduction of RAG+++ as a comprehensive solution holds transformative potential across various industries:
To summarize, RAG+++ provides a more cost-effective and scalable approach for enterprises than techniques like fine-tuning large LLMs from scratch. It is fortified with robust enterprise-grade features and capabilities that ensure security and reliability for enterprise-level deployment.
Squirro's cross-industry-tested and mature RAG+++ offering empowers businesses to unlock the full potential of their proprietary data. It enables seamless "chat with organizational data" capabilities, allowing clients to leverage their unique knowledge assets like never before. By integrating graphs, real-time data ingestion, synthetic data for security, stringent guardrails, and agents, this is a comprehensive solution that addresses the multifaceted challenges of any enterprise. Here are some of our best resources for enterprise-ready solutions:
Experience the future of enterprise AI firsthand - request a personalized demo of our best-in-class RAG offering today. Our experts will guide you through a personal demonstration tailored to your industry, showcasing how Squirro can transform how you access and utilize your organization's data assets.
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